class_docstr: A sequence of LLMFnOutputEntry instances.
  
  Notes:
  - Each LLMFnOutputEntry represents the results of running one model
    input (see documentation for LLMFnOutputEntry for what "model input"
    means.)
  - A single model input may produce more-than-one text results.
docstr: Constructor.
  
  Args:
    outputs: The contents of this LLMFnOutputs instance.
    ipython_display_fn: An optional function for pretty-printing this instance
      when it is the output of a cell in a notebook. If this argument is not
      None, the _ipython_display_ method will be defined which will in turn
      invoke this function.
docstr_tok: ["Constructor",".","Args",":","outputs",":","The","contents","of","this","LLMFnOutputs","instance",".","ipython_display_fn",":","An","optional","function","for","pretty-printing","this","instance","when","it","is","the","output","of","a","cell","in","a","notebook",".","If","this","argument","is","not","None",",","the","_ipython_display_","method","will","be","defined","which","will","in","turn","invoke","this","function","."]
code: def __init__(
      self,
      outputs: Iterable[LLMFnOutputEntry] | None = None,
      ipython_display_fn: Callable[[LLMFnOutputs], None] | None = None,
  ):
      """Constructor.
  
      Args:
        outputs: The contents of this LLMFnOutputs instance.
        ipython_display_fn: An optional function for pretty-printing this instance
          when it is the output of a cell in a notebook. If this argument is not
          None, the _ipython_display_ method will be defined which will in turn
          invoke this function.
      """
      super().__init__(outputs=outputs)
  
      if ipython_display_fn:
          self._ipython_display_fn = ipython_display_fn
          # We define the _ipython_display_ method only when `ipython_display_fn`
          # is set. This lets us fall back to a default implementation defined by
          # the notebook when `ipython_display_fn` is not set, instead of having to
          # provide our own default implementation.
          setattr(
              self,
              "_ipython_display_",
              getattr(self, "_ipython_display_impl"),
          )
  
imports: from __future__ import annotations
  import abc
  import dataclasses
  from typing import overload, Any, Callable, Iterable, Iterator, Mapping, Sequence
  from google.generativeai.notebook.lib import llmfn_output_row
  from google.generativeai.notebook.lib import model
  import pandas
label_desc: Use image node_id 1 to create a new LLMFnOutputs object from inherited base classes: LLMFnOutputsBase with example: obj = LLMFnOutputs(outputs, ipython_display_fn)